We propose a sequential randomized algorithm, which at each step concentrates on functions having both low risk and low variance with respect to the previous step prediction functi...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
The publish/subscribe (pub/sub) paradigm provides content-oriented data dissemination in which communication channels are established between content publishers and content subscr...
Zihui Ge, Ping Ji, James F. Kurose, Donald F. Tows...
— Host resources (e.g., CPU time and buffer space) in mobile ad hoc networks must be shared between the devices own applications and networking functions, such as routing and pac...
“Ghosts” arise in traditional background subtraction when an object starts to move, causing the exposed background to be labelled as a ghost foreground. With background model ...